scholarly journals Characterization of the carbides in the steel X20CrMoV12.1 used in thermal power plants

2008 ◽  
Vol 40 (3-4) ◽  
pp. 513-517 ◽  
Author(s):  
Danijela Anica Skobir ◽  
Matjaz Godec ◽  
Monika Jenko ◽  
Bostjan Markoli
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants

scholarly journals An Ultrasonic-Capacitive System for Online Characterization of Fuel Oils in Thermal Power Plants

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7979
Author(s):  
Mateus Mendes Campos ◽  
Luiz Eduardo Borges-da-Silva ◽  
Daniel de Almeida Arantes ◽  
Carlos Eduardo Teixeira ◽  
Erik Leandro Bonaldi ◽  
...  
Keyword(s):  
Flow Rate ◽  
Total Mass ◽  
Power Plants ◽  
Thermal Power ◽  
Electric Energy ◽  
Thermal Power Plants ◽  
Heating Value ◽  
Fuel Oils

This paper presents a ultrasonic-capacitive system for online analysis of the quality of fuel oils (FO), which are widely used to produce electric energy in Thermal Power Plants (TPP) due to their elevated heating value. The heating value, in turn, is linked to the quality of the fuel (i.e., the density and the amount of contaminants, such as water). Therefore, the analysis of the quality is of great importance for TPPs, either in order to avoid a decrease in generated power or in order to avoid damage to the TPP equipment. The proposed system is composed of two main strategies: a capacitive system (in order to estimate the water content in the fuel) and an ultrasonic system (in order to estimate the density). The conjunction of the two strategies is used in order to estimate the heating value of the fuel, online, as it passes through the pipeline and is an important tool for the TPP in order to detect counterfeit fuel. In addition, the ultrasonic system allows the estimation of the flow rate through the pipeline, hence estimating the amount of oil transferred and obtaining the total mass transferred as a feature of the system. Experimental results are provided for both sensors installed in a TPP in Brazil.

Characterization of coal blends for effective utilization in thermal power plants

2016 ◽  
Vol 102 ◽  
pp. 9-16 ◽  
Author(s):  
S. Santhosh Raaj ◽  
S. Arumugam ◽  
M. Muthukrishnan ◽  
S. Krishnamoorthy ◽  
N. Anantharaman
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Effective Utilization

scholarly journals Modeling and Hourly Time-Scale Characterization of the Main Energy Parameters of Parabolic-Trough Solar Thermal Power Plants Using a Simplified Quasi-Dynamic Model

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 221
Author(s):  
Ignacio Arias ◽  
Eduardo Zarza ◽  
Loreto Valenzuela ◽  
Manuel Pérez-García ◽  
José Alfonso Romero Ramos ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Parabolic Trough ◽  
Solar Thermal Power ◽  
Simulation Results ◽  
Solar Field ◽  
The Mathematical Model

A simplified mathematical model of parabolic-trough solar thermal power plants, which allow one to carry out an energetic characterization of the main thermal parameters that influence the solar field performance, was evaluated through a comparison of simulation results. Two geographical locations were selected to evaluate the mathematical model proposed in this work—one in each hemisphere—and design considerations according with the practical/operational experience were taken. Furthermore, independent simulations were performed using the System Advisor Model (SAM) software, their results were compared with those obtained by the simplified model. According with the above, the mathematical model allows one to carry out simulations with a high degree of flexibility and adaptability, in which the equations that allow the plant to be energetically characterized are composed of a series of logical conditions that help identify boundary conditions between dawn and sunset, direct normal irradiance transients, and when the thermal energy storage system must compensate the solar field energy deficits to maintain the full load operation of the plant. Due to the above, the developed model allows one to obtain satisfactory simulation results; referring to the net electric power production, this model provides results in both hemispheres with a relative percentage error in the range of [0.28–8.38%] compared with the results obtained with the SAM, with mean square values of 4.57% and 4.21% for sites 1 and 2, respectively.

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